Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på tidsskrift "Proceedings of IEEE international conference on image processing"
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Can no-reference image quality metrics assess visible wavelength iris sample quality?
(Journal article; Peer reviewed, 2017)The overall performance of iris recognition systems is affected by the quality of acquired iris sample images. Due to the development of imaging technologies, visible wavelength iris recognition gained a lot of attention ... -
Deep Smoke Removal from Minimally Invasive Surgery Videos
(Journal article; Peer reviewed, 2018)During video-guided minimally invasive surgery, quality of frames may be degraded severely by cauterization-induced smoke and condensation of vapor. This degradation of quality creates discomfort for the operating surgeon, ... -
Disam: Density Independent and Scale Aware Model for Crowd Counting and Localization
(Journal article; Peer reviewed, 2019)People counting in high density crowds is emerging as a new frontier in crowd video surveillance. Crowd counting in high density crowds encounters many challenges, such as severe occlusions, few pixels per head, and large ... -
Evidence of change blindness in subjective image fidelity assessment
(Journal article; Peer reviewed, 2017)Change blindness is a striking phenomenon which basically means that we can look without seeing. It originates from a faulty communication between early vision (the eye) and visual working memory (the brain). In this paper, ... -
A Metrological Measurement of Texture in Hyperspectral Images Using Relocated Spectral Difference Occurrence Matrix
(Peer reviewed; Journal article, 2019)A new hyperspectral texture descriptor, Relocated Spectral Difference Occurrence Matrix (rSDOM) is proposed. It assesses the distribution of spectral difference in a given neighborhood. For metrological purposes, rSDOM ... -
Reflectance-based surface saliency
(Journal article; Peer reviewed, 2018)In this paper, we propose an original methodology allowing the computation of the saliency maps for high dimensional RTI data (Reflectance Transformation Imaging). Unlike most of the classical methods, our approach aims ...